Unveiling the Potential of iMarkers: Invisible Fiducial Markers for Advanced Robotics
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arXiv
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| Format: | Preprint |
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2025
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| author | Tourani, Ali Avsar, Deniz Isinsu Bavle, Hriday Sanchez-Lopez, Jose Luis Lagerwall, Jan Voos, Holger |
| author_facet | Tourani, Ali Avsar, Deniz Isinsu Bavle, Hriday Sanchez-Lopez, Jose Luis Lagerwall, Jan Voos, Holger |
| contents | Fiducial markers are widely used in robotics for navigation, object recognition, and scene understanding. While offering significant advantages for robots and Augmented Reality (AR) applications, they often disrupt the visual aesthetics of environments, as they are visible to humans, making them unsuitable for many everyday use cases. To address this gap, this paper presents iMarkers, innovative, unobtrusive fiducial markers detectable exclusively by robots and AR devices equipped with adequate sensors and detection algorithms. These markers offer high flexibility in production, allowing customization of their visibility range and encoding algorithms to suit various demands. The paper also introduces the hardware designs and open-sourced software algorithms developed for detecting iMarkers, highlighting their adaptability and robustness in the detection and recognition stages. Numerous evaluations have demonstrated the effectiveness of iMarkers relative to conventional (printed) and blended fiducial markers and have confirmed their applicability across diverse robotics scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_15505 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Unveiling the Potential of iMarkers: Invisible Fiducial Markers for Advanced Robotics Tourani, Ali Avsar, Deniz Isinsu Bavle, Hriday Sanchez-Lopez, Jose Luis Lagerwall, Jan Voos, Holger Robotics Computer Vision and Pattern Recognition I.2.10; I.2.9; I.4.8 Fiducial markers are widely used in robotics for navigation, object recognition, and scene understanding. While offering significant advantages for robots and Augmented Reality (AR) applications, they often disrupt the visual aesthetics of environments, as they are visible to humans, making them unsuitable for many everyday use cases. To address this gap, this paper presents iMarkers, innovative, unobtrusive fiducial markers detectable exclusively by robots and AR devices equipped with adequate sensors and detection algorithms. These markers offer high flexibility in production, allowing customization of their visibility range and encoding algorithms to suit various demands. The paper also introduces the hardware designs and open-sourced software algorithms developed for detecting iMarkers, highlighting their adaptability and robustness in the detection and recognition stages. Numerous evaluations have demonstrated the effectiveness of iMarkers relative to conventional (printed) and blended fiducial markers and have confirmed their applicability across diverse robotics scenarios. |
| title | Unveiling the Potential of iMarkers: Invisible Fiducial Markers for Advanced Robotics |
| topic | Robotics Computer Vision and Pattern Recognition I.2.10; I.2.9; I.4.8 |
| url | https://arxiv.org/abs/2501.15505 |